Senior AI Data Scientist — Analytics & Client Impact

PwC

Boston (MA)

On-site

USD 72,000 - 184,000

Full time

7 days ago
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Job summary

PwC is seeking an AI Data Scientist Senior Associate to transform raw data into actionable insights using advanced analytics and ML, within the Assurance practice in the United States. You will build data-driven solutions, create visualizations, and communicate findings to clients and stakeholders.

You will work on exploratory analysis, descriptive modeling, and predictive methods, applying Python and modern AI/ML approaches to solve complex business problems.

Qualifications

  • Bachelor's degree required.
  • Minimum 2 years of relevant AI data science experience.
  • Experience with Python and ML libraries.

Responsibilities

  • Leveraging advanced analytics and statistical techniques to extract insights from large datasets.
  • Designing and developing robust data solutions to transform raw data into actionable insights.
  • Conducting exploratory and descriptive analysis to inform strategic decision‑making.
  • Utilizing machine learning algorithms and predictive modeling to solve complex business problems.
  • Creating data visualizations to effectively communicate insights and drive data‑driven decisions.
  • Collaborating with clients to understand their data needs and deliver tailored solutions.
  • Managing data pipelines and confirming data quality and integrity throughout the analysis process.
  • Applying data science workflows and troubleshooting techniques to optimize performance.
  • Engaging in continuous learning to deepen technical skills and adapt to emerging technologies.
  • Mentoring junior team members and fostering a collaborative team environment.

Skills

Python
Machine learning
Data analysis
NLP
Neural networks
Data pipelines

Education

Bachelor's degree

Tools

Pandas
Scikit-learn
TensorFlow/PyTorch

Job description

PwC is seeking an AI Data Scientist Senior Associate to transform raw data into actionable insights using advanced analytics and ML, within the Assurance practice in the United States. You will build data-driven solutions, create visualizations, and communicate findings to clients and stakeholders.

You will work on exploratory analysis, descriptive modeling, and predictive methods, applying Python and modern AI/ML approaches to solve complex business problems.

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